Recently a number of approaches have been developed for forecastingmortality. In this paper, we consider the Lee-Carter model and we investigate in particular the hypothesis about the error structure implicitly assumed in the model specification, i.e., the errors are homoschedastic. The homoschedasticity assumption is quite unrealistic, because of the observed pattern of the mortality rates showing a different variability at old ages than younger ages. Therefore, the opportunity to analyse the robustness of estimated parameter is emerging. To this aim,we proposean experimental strategy in order to assessthe robustness of the Lee-Carter model by inducing the errors to satisfy the homoschedasticity hypothesis.Moreover, we apply it to a matrix of Italian mortality rates. Finally, we highlight the results through an application to a pension annuity portfolio.
Lee Carter error matrix simulation: heteroschedasticity impact on actuarial valuations
RUSSOLILLO, Maria;D'AMATO, VALERIA
2010-01-01
Abstract
Recently a number of approaches have been developed for forecastingmortality. In this paper, we consider the Lee-Carter model and we investigate in particular the hypothesis about the error structure implicitly assumed in the model specification, i.e., the errors are homoschedastic. The homoschedasticity assumption is quite unrealistic, because of the observed pattern of the mortality rates showing a different variability at old ages than younger ages. Therefore, the opportunity to analyse the robustness of estimated parameter is emerging. To this aim,we proposean experimental strategy in order to assessthe robustness of the Lee-Carter model by inducing the errors to satisfy the homoschedasticity hypothesis.Moreover, we apply it to a matrix of Italian mortality rates. Finally, we highlight the results through an application to a pension annuity portfolio.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
